import os

import sys

import numpy as np

import pandas as pd

import math

import json

from scipy import interpolate

from scipy.interpolate import Rbf

from scipy.interpolate import interp2d

from scipy.interpolate import spline

from scipy.stats import scoreatpercentile as satp

from datetime import datetime,timedelta

import matplotlib.pyplot as plt

import matplotlib.dates as mdates

import matplotlib.colors as colors

import matplotlib.cm as cmx

from matplotlib.mlab import griddata

from matplotlib import cm

from matplotlib.backends.backend_pdf import PdfPages

from matplotlib.ticker import MultipleLocator

import matplotlib.gridspec as gridspec

import brewer2mpl as b2mpl

from utils import warn_p, debug_p

from surv_data_2_ref import surv_data_2_ref as d2f

from kariba_settings import opt_marker, opt_marker_size, markers, subopt_plots_threshold, cc_penalty_model, cc_agg_fold, hfca_id_2_facility, cluster_2_prevs as c2p, traces_plots_dir, traces_base_file_name, cc_traces_plots_dir, cc_traces_base_file_name, err_surfaces_plots_dir, err_surfaces_base_file_name, sim_data_dir, calibration_data_file, tags_data_file, channels_sample_points, objectives_channel_codes, reports_channels, channels, cc_sim_start_date, cc_ref_start_date, cc_ref_end_date, cc_penalty_model,\

cc_weight, hfca_id_2_cluster_ids, sample_size, cc_num_fold_bins, weighted_cc_traces_base_file_name, weighted_cc_traces_plots_dir, sample_size_percentile, weighted_ccs_by_hfca_id_file, get_cluster_category

from kariba_utils import get_cc_model_ref_traces, get_cc_penalty, sim_key_2_group_key

class PlotUtils():